Chalk Labs
Need help deploying code-review?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/sur1ive-code-review
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/code-review
What's inside
- Skill name
code-review- Description
- Review a diff or files for bugs before style. Use when the user asks for a review, a second look, or "is this ok?".
- License
- MIT
- Instructions
- 17 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Code review Read the change in full before commenting. Then go through, in this order: 1. **Correctness** - wrong logic, off-by-one, unhandled `None`/empty input, wrong error handling, race conditions, resource leaks. 2. **Security** - injection (SQL, shell, path traversal), secrets in code, missing auth checks, unsafe deserialization. 3. **Tests** - is the new behaviour tested? Would the tests fail if the code broke? 4. **Design** - duplicated logic, functions doing two jobs, names that lie. 5. **Style** - only if it hurts readability. Never nitpick what a formatter fixes. For every finding give: `file:line`, what goes wrong (a concrete input and the wrong result), and a suggested fix. Lead with the most severe. If you find nothing serious, say so plainly - don't invent issues.
From Sur1ive/harness-from-scratch, MIT.
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 12, 2026 (18 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Sur1ive/harness-from-scratch
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Sur1ive
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
code-review skill. Agent Mart. https://agentmart.dev/skills/sur1ive-code-review (last updated 2026-10-24)